Über
Design and implement a unified data model and cloud-native infrastructure to support data ingestion and scalability Own the reliability of data pipelines, ensuring accurate integration of external data and real-time product interventions Lead data quality initiatives and collaborate with product and data science teams to enhance data utilization and model deployment
Required Qualifications
7+ years of experience in Data Engineering, with at least 3+ years in a Lead or Architectural role Deep familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and CPT Proficient in Python and SQL, with experience in cloud services like AWS Experience with data warehousing solutions such as Snowflake or Databricks Strong interest or practical experience in GenAI/LLM applications
Sprachkenntnisse
- English
Hinweis für Nutzer
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